Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations53376
Missing cells0
Missing cells (%)0.0%
Duplicate rows2072
Duplicate rows (%)3.9%
Total size in memory8.1 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

Dataset has 2072 (3.9%) duplicate rowsDuplicates
Alpha_AF7 is highly overall correlated with Beta_AF7 and 3 other fieldsHigh correlation
Alpha_AF8 is highly overall correlated with Beta_AF8 and 2 other fieldsHigh correlation
Alpha_TP10 is highly overall correlated with Alpha_TP9 and 2 other fieldsHigh correlation
Alpha_TP9 is highly overall correlated with Alpha_TP10High correlation
Beta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Beta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Beta_TP10 is highly overall correlated with Alpha_TP10High correlation
Beta_TP9 is highly overall correlated with Gamma_TP9High correlation
Delta_AF7 is highly overall correlated with Alpha_AF7 and 5 other fieldsHigh correlation
Delta_AF8 is highly overall correlated with Alpha_AF8 and 5 other fieldsHigh correlation
Delta_TP10 is highly overall correlated with Theta_TP10High correlation
Delta_TP9 is highly overall correlated with Theta_TP9High correlation
Gamma_AF7 is highly overall correlated with Alpha_AF7 and 2 other fieldsHigh correlation
Gamma_AF8 is highly overall correlated with Beta_AF8 and 2 other fieldsHigh correlation
Gamma_TP9 is highly overall correlated with Beta_TP9High correlation
Theta_AF7 is highly overall correlated with Alpha_AF7 and 6 other fieldsHigh correlation
Theta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Theta_TP10 is highly overall correlated with Alpha_TP10 and 1 other fieldsHigh correlation
Theta_TP9 is highly overall correlated with Delta_TP9High correlation

Reproduction

Analysis started2024-10-03 22:04:04.670206
Analysis finished2024-10-03 22:04:35.357167
Duration30.69 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Delta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1587
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.91220174
Minimum0.09351199
Maximum2.8702579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size417.1 KiB
2024-10-03T18:04:35.448051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.09351199
5-th percentile0.31188902
Q10.6793041
median0.87557197
Q31.1199005
95-th percentile1.5050339
Maximum2.8702579
Range2.7767459
Interquartile range (IQR)0.4405964

Descriptive statistics

Standard deviation0.39540959
Coefficient of variation (CV)0.43346726
Kurtosis5.216608
Mean0.91220174
Median Absolute Deviation (MAD)0.22612653
Skewness1.3543956
Sum48689.68
Variance0.15634874
MonotonicityNot monotonic
2024-10-03T18:04:35.535748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7602499 873
 
1.6%
1.1199005 594
 
1.1%
1.3136963 547
 
1.0%
2.8702579 546
 
1.0%
0.5503678 487
 
0.9%
0.8593726 473
 
0.9%
0.68377435 416
 
0.8%
1.1798431 409
 
0.8%
1.1231012 390
 
0.7%
1.4606639 390
 
0.7%
Other values (1577) 48251
90.4%
ValueCountFrequency (%)
0.09351199 26
< 0.1%
0.093812376 26
< 0.1%
0.0980252 26
< 0.1%
0.09982874 26
< 0.1%
0.105184674 26
< 0.1%
0.10800612 26
< 0.1%
0.11434632 26
< 0.1%
0.11686252 26
< 0.1%
0.12833543 26
< 0.1%
0.13917342 26
< 0.1%
ValueCountFrequency (%)
2.8702579 546
1.0%
2.7761216 26
 
< 0.1%
2.0093746 26
 
< 0.1%
1.9896846 26
 
< 0.1%
1.9877778 26
 
< 0.1%
1.9816388 26
 
< 0.1%
1.9716198 26
 
< 0.1%
1.9525588 26
 
< 0.1%
1.9464546 26
 
< 0.1%
1.9450746 26
 
< 0.1%

Delta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct2008
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5542263
Minimum-0.65790015
Maximum2.875071
Zeros0
Zeros (%)0.0%
Negative11567
Negative (%)21.7%
Memory size417.1 KiB
2024-10-03T18:04:35.636612image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.65790015
5-th percentile-0.32592908
Q10.06592927
median0.406569
Q30.8368742
95-th percentile2.0633194
Maximum2.875071
Range3.5329712
Interquartile range (IQR)0.77094493

Descriptive statistics

Standard deviation0.6970681
Coefficient of variation (CV)1.2577319
Kurtosis0.49491303
Mean0.5542263
Median Absolute Deviation (MAD)0.38807994
Skewness0.95735349
Sum29582.383
Variance0.48590393
MonotonicityNot monotonic
2024-10-03T18:04:35.730587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5934964 442
 
0.8%
0.505628 286
 
0.5%
0.406569 234
 
0.4%
0.6858699 234
 
0.4%
0.7140713 208
 
0.4%
-0.067825824 182
 
0.3%
2.363453 156
 
0.3%
2.875071 130
 
0.2%
2.5865755 78
 
0.1%
0.76227266 37
 
0.1%
Other values (1998) 51389
96.3%
ValueCountFrequency (%)
-0.65790015 26
< 0.1%
-0.64533573 26
< 0.1%
-0.62086314 26
< 0.1%
-0.6140611 26
< 0.1%
-0.5997879 26
< 0.1%
-0.5954794 26
< 0.1%
-0.58979726 26
< 0.1%
-0.5893065 26
< 0.1%
-0.5838901 26
< 0.1%
-0.58262247 26
< 0.1%
ValueCountFrequency (%)
2.875071 130
0.2%
2.7789667 26
 
< 0.1%
2.7006772 26
 
< 0.1%
2.637575 26
 
< 0.1%
2.637501 26
 
< 0.1%
2.6344278 26
 
< 0.1%
2.5954027 26
 
< 0.1%
2.5865755 78
0.1%
2.5039182 26
 
< 0.1%
2.5037594 26
 
< 0.1%

Delta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2051
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39043482
Minimum-0.6055294
Maximum1.7712256
Zeros0
Zeros (%)0.0%
Negative9548
Negative (%)17.9%
Memory size417.1 KiB
2024-10-03T18:04:35.819967image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6055294
5-th percentile-0.26661393
Q10.09841418
median0.368641
Q30.6653181
95-th percentile1.2134507
Maximum1.7712256
Range2.376755
Interquartile range (IQR)0.56690392

Descriptive statistics

Standard deviation0.43153671
Coefficient of variation (CV)1.1052721
Kurtosis-0.08629366
Mean0.39043482
Median Absolute Deviation (MAD)0.2800033
Skewness0.35763169
Sum20839.849
Variance0.18622394
MonotonicityNot monotonic
2024-10-03T18:04:35.905965image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2401651 208
 
0.4%
1.2685679 187
 
0.4%
0.47932255 167
 
0.3%
0.74423766 130
 
0.2%
0.10106818 26
 
< 0.1%
0.022416962 26
 
< 0.1%
0.05937474 26
 
< 0.1%
0.07415823 26
 
< 0.1%
0.08509666 26
 
< 0.1%
0.26878253 26
 
< 0.1%
Other values (2041) 52528
98.4%
ValueCountFrequency (%)
-0.6055294 26
< 0.1%
-0.57554275 26
< 0.1%
-0.56168157 26
< 0.1%
-0.53763497 26
< 0.1%
-0.5374897 26
< 0.1%
-0.5281758 26
< 0.1%
-0.51751894 26
< 0.1%
-0.5143293 26
< 0.1%
-0.5072811 26
< 0.1%
-0.50315374 26
< 0.1%
ValueCountFrequency (%)
1.7712256 26
< 0.1%
1.7708254 26
< 0.1%
1.7705361 26
< 0.1%
1.7700437 26
< 0.1%
1.7693115 26
< 0.1%
1.7685732 26
< 0.1%
1.5745414 19
< 0.1%
1.5583999 26
< 0.1%
1.5376157 26
< 0.1%
1.5185423 26
< 0.1%

Delta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1648
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66773028
Minimum-0.45063993
Maximum2.2089305
Zeros0
Zeros (%)0.0%
Negative1487
Negative (%)2.8%
Memory size417.1 KiB
2024-10-03T18:04:35.991177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.45063993
5-th percentile0.06280102
Q10.36736578
median0.6135875
Q30.85183
95-th percentile1.5527108
Maximum2.2089305
Range2.6595704
Interquartile range (IQR)0.48446422

Descriptive statistics

Standard deviation0.44218424
Coefficient of variation (CV)0.66221985
Kurtosis1.4430379
Mean0.66773028
Median Absolute Deviation (MAD)0.2410065
Skewness0.92836131
Sum35640.771
Variance0.1955269
MonotonicityNot monotonic
2024-10-03T18:04:36.080698image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6577967 1159
 
2.2%
0.60566425 669
 
1.3%
0.0101371845 525
 
1.0%
0.48227832 513
 
1.0%
1.2016914 469
 
0.9%
0.3639459 439
 
0.8%
1.2493678 383
 
0.7%
0.22583969 364
 
0.7%
1.2000115 338
 
0.6%
1.1701206 335
 
0.6%
Other values (1638) 48182
90.3%
ValueCountFrequency (%)
-0.45063993 182
0.3%
-0.44905663 26
 
< 0.1%
-0.42509556 26
 
< 0.1%
-0.37566695 26
 
< 0.1%
-0.36816874 26
 
< 0.1%
-0.3506115 26
 
< 0.1%
-0.34743443 26
 
< 0.1%
-0.30512944 26
 
< 0.1%
-0.2753179 26
 
< 0.1%
-0.26359463 26
 
< 0.1%
ValueCountFrequency (%)
2.2089305 26
< 0.1%
2.207972 26
< 0.1%
2.1860764 26
< 0.1%
2.181842 26
< 0.1%
2.160387 52
0.1%
2.1433284 26
< 0.1%
2.1428046 26
< 0.1%
2.1418707 26
< 0.1%
2.1418235 26
< 0.1%
2.1371899 26
< 0.1%

Theta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1587
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6058484
Minimum-0.08699945
Maximum1.9194108
Zeros0
Zeros (%)0.0%
Negative992
Negative (%)1.9%
Memory size417.1 KiB
2024-10-03T18:04:36.169117image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.08699945
5-th percentile0.12169693
Q10.37480643
median0.56383115
Q30.791853
95-th percentile1.2251309
Maximum1.9194108
Range2.0064103
Interquartile range (IQR)0.41704657

Descriptive statistics

Standard deviation0.33424985
Coefficient of variation (CV)0.55170541
Kurtosis1.4547763
Mean0.6058484
Median Absolute Deviation (MAD)0.21023849
Skewness0.80592958
Sum32337.764
Variance0.11172296
MonotonicityNot monotonic
2024-10-03T18:04:36.261169image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29805025 873
 
1.6%
0.791853 594
 
1.1%
1.0855147 547
 
1.0%
1.9194108 546
 
1.0%
0.13706282 487
 
0.9%
0.23858356 473
 
0.9%
0.56383115 416
 
0.8%
1.1972892 409
 
0.8%
0.71008694 390
 
0.7%
1.1233572 390
 
0.7%
Other values (1577) 48251
90.4%
ValueCountFrequency (%)
-0.08699945 26
 
< 0.1%
-0.07448744 390
0.7%
-0.05921185 208
0.4%
-0.02372435 26
 
< 0.1%
-0.012231325 26
 
< 0.1%
-0.007230272 238
0.4%
-0.0036247936 26
 
< 0.1%
-0.0024743567 26
 
< 0.1%
-0.0022696336 26
 
< 0.1%
0.022549435 26
 
< 0.1%
ValueCountFrequency (%)
1.9194108 546
1.0%
1.8274599 26
 
< 0.1%
1.4003282 26
 
< 0.1%
1.400026 26
 
< 0.1%
1.3851696 26
 
< 0.1%
1.3797239 26
 
< 0.1%
1.3794737 19
 
< 0.1%
1.3625259 26
 
< 0.1%
1.3618721 26
 
< 0.1%
1.3502733 26
 
< 0.1%

Theta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct2008
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13103123
Minimum-0.7291284
Maximum1.9770837
Zeros0
Zeros (%)0.0%
Negative29540
Negative (%)55.3%
Memory size417.1 KiB
2024-10-03T18:04:36.351937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.7291284
5-th percentile-0.46737734
Q1-0.19611911
median-0.032973763
Q30.37483805
95-th percentile1.2409475
Maximum1.9770837
Range2.7062121
Interquartile range (IQR)0.57095716

Descriptive statistics

Standard deviation0.51055016
Coefficient of variation (CV)3.8964006
Kurtosis0.69790292
Mean0.13103123
Median Absolute Deviation (MAD)0.21363451
Skewness1.1585629
Sum6993.9229
Variance0.26066147
MonotonicityNot monotonic
2024-10-03T18:04:36.452541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0015533 442
 
0.8%
0.14285791 286
 
0.5%
-0.15459193 234
 
0.4%
-0.038903695 234
 
0.4%
-0.020208228 208
 
0.4%
-0.38827434 182
 
0.3%
1.4766304 156
 
0.3%
1.9770837 130
 
0.2%
1.7186477 78
 
0.1%
-0.019860227 37
 
0.1%
Other values (1998) 51389
96.3%
ValueCountFrequency (%)
-0.7291284 26
< 0.1%
-0.72703475 26
< 0.1%
-0.7154853 26
< 0.1%
-0.70074624 26
< 0.1%
-0.69515413 26
< 0.1%
-0.6913698 26
< 0.1%
-0.689467 26
< 0.1%
-0.6893468 26
< 0.1%
-0.68485767 26
< 0.1%
-0.6761778 26
< 0.1%
ValueCountFrequency (%)
1.9770837 130
0.2%
1.8803624 26
 
< 0.1%
1.801385 26
 
< 0.1%
1.7693988 26
 
< 0.1%
1.768729 26
 
< 0.1%
1.7346961 26
 
< 0.1%
1.7186477 78
0.1%
1.6926055 26
 
< 0.1%
1.6022426 26
 
< 0.1%
1.6021358 26
 
< 0.1%

Theta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2051
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020948564
Minimum-0.6518593
Maximum1.0730251
Zeros0
Zeros (%)0.0%
Negative28826
Negative (%)54.0%
Memory size417.1 KiB
2024-10-03T18:04:36.541947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6518593
5-th percentile-0.42358074
Q1-0.19388431
median-0.028856438
Q30.21241733
95-th percentile0.5803075
Maximum1.0730251
Range1.7248844
Interquartile range (IQR)0.40630164

Descriptive statistics

Standard deviation0.30773164
Coefficient of variation (CV)14.689868
Kurtosis-0.048116274
Mean0.020948564
Median Absolute Deviation (MAD)0.19311617
Skewness0.5370871
Sum1118.1505
Variance0.094698762
MonotonicityNot monotonic
2024-10-03T18:04:36.631814image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.40705952 208
 
0.4%
0.44976932 187
 
0.4%
-0.13019074 167
 
0.3%
0.19890693 130
 
0.2%
-0.33403757 26
 
< 0.1%
-0.37905362 26
 
< 0.1%
-0.36811715 26
 
< 0.1%
-0.35461777 26
 
< 0.1%
-0.34356344 26
 
< 0.1%
-0.0045827557 26
 
< 0.1%
Other values (2041) 52528
98.4%
ValueCountFrequency (%)
-0.6518593 26
< 0.1%
-0.6514348 26
< 0.1%
-0.63689643 26
< 0.1%
-0.6365796 26
< 0.1%
-0.63166046 26
< 0.1%
-0.61985326 26
< 0.1%
-0.6177851 26
< 0.1%
-0.6177115 26
< 0.1%
-0.61234623 26
< 0.1%
-0.6074613 26
< 0.1%
ValueCountFrequency (%)
1.0730251 26
< 0.1%
1.0730238 26
< 0.1%
1.0726033 26
< 0.1%
1.0725461 26
< 0.1%
1.0717752 26
< 0.1%
1.0711709 26
< 0.1%
0.90969056 19
< 0.1%
0.8935197 26
< 0.1%
0.869282 26
< 0.1%
0.8474571 26
< 0.1%

Theta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1648
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46304664
Minimum-0.29645872
Maximum1.452365
Zeros0
Zeros (%)0.0%
Negative1148
Negative (%)2.2%
Memory size417.1 KiB
2024-10-03T18:04:36.718477image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.29645872
5-th percentile0.051746316
Q10.2656049
median0.40387276
Q30.6130798
95-th percentile1.0801666
Maximum1.452365
Range1.7488237
Interquartile range (IQR)0.3474749

Descriptive statistics

Standard deviation0.30024599
Coefficient of variation (CV)0.64841415
Kurtosis0.79899598
Mean0.46304664
Median Absolute Deviation (MAD)0.15694474
Skewness0.85026574
Sum24715.578
Variance0.090147656
MonotonicityNot monotonic
2024-10-03T18:04:36.807840image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.44877878 1159
 
2.2%
0.3114343 669
 
1.3%
0.26199824 525
 
1.0%
0.36088604 513
 
1.0%
0.92543334 469
 
0.9%
0.23922144 439
 
0.8%
0.9887092 383
 
0.7%
0.22365041 364
 
0.7%
0.8892597 338
 
0.6%
0.81867075 335
 
0.6%
Other values (1638) 48182
90.3%
ValueCountFrequency (%)
-0.29645872 26
 
< 0.1%
-0.25981194 26
 
< 0.1%
-0.2575605 26
 
< 0.1%
-0.22529034 26
 
< 0.1%
-0.21846211 26
 
< 0.1%
-0.21285619 182
0.3%
-0.21278086 26
 
< 0.1%
-0.18521556 21
 
< 0.1%
-0.18457808 26
 
< 0.1%
-0.17920868 26
 
< 0.1%
ValueCountFrequency (%)
1.452365 26
< 0.1%
1.4498242 26
< 0.1%
1.441756 26
< 0.1%
1.438748 26
< 0.1%
1.4356893 26
< 0.1%
1.4316757 26
< 0.1%
1.4308242 26
< 0.1%
1.4300808 26
< 0.1%
1.425611 52
0.1%
1.4251637 26
< 0.1%

Alpha_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1178
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.172151
Minimum0.0291096
Maximum2.1328275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size417.1 KiB
2024-10-03T18:04:36.899251image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0291096
5-th percentile0.49481988
Q10.9872947
median1.2300023
Q31.4045386
95-th percentile1.6870611
Maximum2.1328275
Range2.1037179
Interquartile range (IQR)0.4172439

Descriptive statistics

Standard deviation0.35886047
Coefficient of variation (CV)0.3061555
Kurtosis0.53711856
Mean1.172151
Median Absolute Deviation (MAD)0.1926021
Skewness-0.55668536
Sum62564.731
Variance0.12878084
MonotonicityNot monotonic
2024-10-03T18:04:36.990082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.574635 873
 
1.6%
1.7737656 703
 
1.3%
1.6870611 620
 
1.2%
2.1328275 572
 
1.1%
0.26635382 487
 
0.9%
0.14121903 473
 
0.9%
0.7473116 416
 
0.8%
1.0492707 409
 
0.8%
1.2321707 393
 
0.7%
1.2513291 390
 
0.7%
Other values (1168) 48040
90.0%
ValueCountFrequency (%)
0.0291096 26
 
< 0.1%
0.08813132 26
 
< 0.1%
0.14121903 473
0.9%
0.18277593 26
 
< 0.1%
0.18942745 251
0.5%
0.26635382 487
0.9%
0.28622195 26
 
< 0.1%
0.31880534 26
 
< 0.1%
0.31979063 78
 
0.1%
0.32180232 26
 
< 0.1%
ValueCountFrequency (%)
2.1328275 572
1.1%
1.7984476 104
 
0.2%
1.7931398 26
 
< 0.1%
1.7899144 260
0.5%
1.7893363 26
 
< 0.1%
1.7892247 26
 
< 0.1%
1.7887752 26
 
< 0.1%
1.7834045 26
 
< 0.1%
1.7791559 26
 
< 0.1%
1.7770396 26
 
< 0.1%

Alpha_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct1381
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44507333
Minimum-0.52235407
Maximum2.1235163
Zeros0
Zeros (%)0.0%
Negative8898
Negative (%)16.7%
Memory size417.1 KiB
2024-10-03T18:04:37.079108image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.52235407
5-th percentile-0.17148098
Q10.053849537
median0.18729152
Q30.5071521
95-th percentile1.7661971
Maximum2.1235163
Range2.6458704
Interquartile range (IQR)0.45330256

Descriptive statistics

Standard deviation0.62440747
Coefficient of variation (CV)1.4029316
Kurtosis0.23948961
Mean0.44507333
Median Absolute Deviation (MAD)0.17358138
Skewness1.2229073
Sum23756.234
Variance0.38988469
MonotonicityNot monotonic
2024-10-03T18:04:37.171727image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4080569 728
 
1.4%
1.5403634 468
 
0.9%
1.2496443 390
 
0.7%
2.067883 390
 
0.7%
1.3791599 390
 
0.7%
2.1089952 390
 
0.7%
1.3766923 364
 
0.7%
2.1123464 364
 
0.7%
1.400229 338
 
0.6%
1.7661971 312
 
0.6%
Other values (1371) 49242
92.3%
ValueCountFrequency (%)
-0.52235407 26
 
< 0.1%
-0.5198346 26
 
< 0.1%
-0.45787394 26
 
< 0.1%
-0.4270319 26
 
< 0.1%
-0.42310426 26
 
< 0.1%
-0.4028278 234
0.4%
-0.398904 26
 
< 0.1%
-0.38868472 26
 
< 0.1%
-0.3762896 26
 
< 0.1%
-0.37097698 26
 
< 0.1%
ValueCountFrequency (%)
2.1235163 101
 
0.2%
2.1123464 364
0.7%
2.1089952 390
0.7%
2.1081538 234
0.4%
2.067883 390
0.7%
2.0103927 156
 
0.3%
2.0087707 234
0.4%
1.8511964 104
 
0.2%
1.8190812 156
 
0.3%
1.8143343 104
 
0.2%

Alpha_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct1451
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31249548
Minimum-0.45657128
Maximum1.4445287
Zeros0
Zeros (%)0.0%
Negative8710
Negative (%)16.3%
Memory size417.1 KiB
2024-10-03T18:04:37.262076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.45657128
5-th percentile-0.11929836
Q10.05120228
median0.18107213
Q30.3545256
95-th percentile1.3790613
Maximum1.4445287
Range1.9011
Interquartile range (IQR)0.30332332

Descriptive statistics

Standard deviation0.43328685
Coefficient of variation (CV)1.386538
Kurtosis1.2197506
Mean0.31249548
Median Absolute Deviation (MAD)0.14367963
Skewness1.5014724
Sum16679.759
Variance0.1877375
MonotonicityNot monotonic
2024-10-03T18:04:37.482230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2347314 390
 
0.7%
1.407243 390
 
0.7%
1.3790613 390
 
0.7%
1.2625852 390
 
0.7%
1.369395 390
 
0.7%
1.3883271 390
 
0.7%
1.4445287 390
 
0.7%
1.2611517 390
 
0.7%
1.246271 390
 
0.7%
1.4249865 390
 
0.7%
Other values (1441) 49476
92.7%
ValueCountFrequency (%)
-0.45657128 52
0.1%
-0.43111938 26
< 0.1%
-0.40658662 26
< 0.1%
-0.40127686 26
< 0.1%
-0.375607 26
< 0.1%
-0.3499732 26
< 0.1%
-0.34555578 26
< 0.1%
-0.33512405 26
< 0.1%
-0.31653386 26
< 0.1%
-0.31478804 26
< 0.1%
ValueCountFrequency (%)
1.4445287 390
0.7%
1.4387702 312
0.6%
1.4357655 71
 
0.1%
1.4343165 260
0.5%
1.4249865 390
0.7%
1.4244981 78
 
0.1%
1.407243 390
0.7%
1.3883271 390
0.7%
1.3790613 390
0.7%
1.369395 390
0.7%

Alpha_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1234
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0773566
Minimum-0.11571707
Maximum1.8432456
Zeros0
Zeros (%)0.0%
Negative1319
Negative (%)2.5%
Memory size417.1 KiB
2024-10-03T18:04:37.600754image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.11571707
5-th percentile0.16333234
Q10.78517884
median1.2140487
Q31.4007379
95-th percentile1.6030927
Maximum1.8432456
Range1.9589627
Interquartile range (IQR)0.61555906

Descriptive statistics

Standard deviation0.43431126
Coefficient of variation (CV)0.40312675
Kurtosis-0.043404309
Mean1.0773566
Median Absolute Deviation (MAD)0.27039386
Skewness-0.78639976
Sum57504.986
Variance0.18862627
MonotonicityNot monotonic
2024-10-03T18:04:37.714914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6041756 1159
 
2.2%
0.34849972 669
 
1.3%
1.3982431 550
 
1.0%
-0.045228336 525
 
1.0%
1.4467478 520
 
1.0%
0.10991169 513
 
1.0%
0.9891345 494
 
0.9%
1.46635 469
 
0.9%
1.2281166 468
 
0.9%
-0.11571707 439
 
0.8%
Other values (1224) 47570
89.1%
ValueCountFrequency (%)
-0.11571707 439
0.8%
-0.045228336 525
1.0%
-0.041634448 130
 
0.2%
-0.040103085 26
 
< 0.1%
-0.039277904 26
 
< 0.1%
-0.030099533 173
 
0.3%
0.0022124576 26
 
< 0.1%
0.078326814 179
 
0.3%
0.08345497 208
 
0.4%
0.09762292 26
 
< 0.1%
ValueCountFrequency (%)
1.8432456 104
0.2%
1.8231694 52
 
0.1%
1.8230125 78
0.1%
1.8215964 156
0.3%
1.7931367 156
0.3%
1.7931052 78
0.1%
1.7899003 26
 
< 0.1%
1.7875522 26
 
< 0.1%
1.7757256 104
0.2%
1.7086855 52
 
0.1%

Beta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1587
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6868945
Minimum0.2895488
Maximum1.4919298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size417.1 KiB
2024-10-03T18:04:37.809157image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.2895488
5-th percentile0.40637323
Q10.5466098
median0.6615286
Q30.80292726
95-th percentile1.0099044
Maximum1.4919298
Range1.202381
Interquartile range (IQR)0.25631746

Descriptive statistics

Standard deviation0.19747379
Coefficient of variation (CV)0.2874878
Kurtosis1.6451501
Mean0.6868945
Median Absolute Deviation (MAD)0.12553214
Skewness0.81253594
Sum36663.681
Variance0.038995897
MonotonicityNot monotonic
2024-10-03T18:04:37.898754image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.66428083 873
 
1.6%
0.9886233 594
 
1.1%
0.95449483 547
 
1.0%
1.4919298 546
 
1.0%
0.45866364 487
 
0.9%
0.6384422 473
 
0.9%
0.5418143 416
 
0.8%
0.5172847 409
 
0.8%
0.4636858 390
 
0.7%
1.0094148 390
 
0.7%
Other values (1577) 48251
90.4%
ValueCountFrequency (%)
0.2895488 283
0.5%
0.29582784 26
 
< 0.1%
0.29739153 26
 
< 0.1%
0.2980531 26
 
< 0.1%
0.30438805 26
 
< 0.1%
0.30444264 26
 
< 0.1%
0.3079742 390
0.7%
0.30821708 9
 
< 0.1%
0.30887 26
 
< 0.1%
0.31395483 26
 
< 0.1%
ValueCountFrequency (%)
1.4919298 546
1.0%
1.4035591 26
 
< 0.1%
1.1446972 26
 
< 0.1%
1.1421852 26
 
< 0.1%
1.1385862 7
 
< 0.1%
1.1301626 26
 
< 0.1%
1.1249377 26
 
< 0.1%
1.1238216 26
 
< 0.1%
1.1208408 26
 
< 0.1%
1.1199456 26
 
< 0.1%

Beta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct2008
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020648471
Minimum-0.43362474
Maximum1.5008706
Zeros0
Zeros (%)0.0%
Negative36553
Negative (%)68.5%
Memory size417.1 KiB
2024-10-03T18:04:37.986114image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.43362474
5-th percentile-0.28194636
Q1-0.19309188
median-0.10487711
Q30.09692311
95-th percentile0.8589587
Maximum1.5008706
Range1.9344953
Interquartile range (IQR)0.29001499

Descriptive statistics

Standard deviation0.34058706
Coefficient of variation (CV)16.494542
Kurtosis2.5464275
Mean0.020648471
Median Absolute Deviation (MAD)0.11007964
Skewness1.7429992
Sum1102.1328
Variance0.11599955
MonotonicityNot monotonic
2024-10-03T18:04:38.081786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49240842 442
 
0.8%
-0.19309188 286
 
0.5%
-0.22974429 234
 
0.4%
-0.19507417 234
 
0.4%
-0.051924948 208
 
0.4%
0.10436749 182
 
0.3%
1.1736337 156
 
0.3%
1.5008706 130
 
0.2%
1.2359878 78
 
0.1%
-0.21489456 37
 
0.1%
Other values (1998) 51389
96.3%
ValueCountFrequency (%)
-0.43362474 26
< 0.1%
-0.4314369 26
< 0.1%
-0.42893136 26
< 0.1%
-0.42494288 26
< 0.1%
-0.42326432 26
< 0.1%
-0.4219596 26
< 0.1%
-0.41761586 26
< 0.1%
-0.41509944 26
< 0.1%
-0.40841573 26
< 0.1%
-0.40759617 26
< 0.1%
ValueCountFrequency (%)
1.5008706 130
0.2%
1.4044552 26
 
< 0.1%
1.3261601 26
 
< 0.1%
1.2851042 26
 
< 0.1%
1.2823503 26
 
< 0.1%
1.2607111 26
 
< 0.1%
1.2359878 78
0.1%
1.2313176 26
 
< 0.1%
1.1736337 156
0.3%
1.1128024 26
 
< 0.1%

Beta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2051
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.041427613
Minimum-0.35532644
Maximum0.8260655
Zeros0
Zeros (%)0.0%
Negative38444
Negative (%)72.0%
Memory size417.1 KiB
2024-10-03T18:04:38.172843image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.35532644
5-th percentile-0.2828596
Q1-0.17871523
median-0.09898356
Q30.02117012
95-th percentile0.38853502
Maximum0.8260655
Range1.1813919
Interquartile range (IQR)0.19988535

Descriptive statistics

Standard deviation0.20566698
Coefficient of variation (CV)-4.9644903
Kurtosis1.4764546
Mean-0.041427613
Median Absolute Deviation (MAD)0.0941215
Skewness1.3051087
Sum-2211.2403
Variance0.042298907
MonotonicityNot monotonic
2024-10-03T18:04:38.267645image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.12534064 208
 
0.4%
0.16957194 187
 
0.4%
-0.11380454 167
 
0.3%
0.038777735 130
 
0.2%
-0.19981882 26
 
< 0.1%
-0.23800461 26
 
< 0.1%
-0.21962665 26
 
< 0.1%
-0.20792145 26
 
< 0.1%
-0.2026924 26
 
< 0.1%
-0.24696079 26
 
< 0.1%
Other values (2041) 52528
98.4%
ValueCountFrequency (%)
-0.35532644 26
< 0.1%
-0.35302776 26
< 0.1%
-0.35070038 26
< 0.1%
-0.3501892 26
< 0.1%
-0.3489261 26
< 0.1%
-0.34174186 26
< 0.1%
-0.3416548 26
< 0.1%
-0.34019816 26
< 0.1%
-0.33865863 26
< 0.1%
-0.33785164 26
< 0.1%
ValueCountFrequency (%)
0.8260655 26
< 0.1%
0.76344985 26
< 0.1%
0.7306717 26
< 0.1%
0.6962028 26
< 0.1%
0.69602287 26
< 0.1%
0.69199955 26
< 0.1%
0.69199514 26
< 0.1%
0.68387043 26
< 0.1%
0.67792606 26
< 0.1%
0.67441094 26
< 0.1%

Beta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct1648
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50365096
Minimum0.07721989
Maximum1.1117194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size417.1 KiB
2024-10-03T18:04:38.355678image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.07721989
5-th percentile0.2771437
Q10.40403813
median0.49051082
Q30.57501006
95-th percentile0.8247384
Maximum1.1117194
Range1.0344995
Interquartile range (IQR)0.17097193

Descriptive statistics

Standard deviation0.1546856
Coefficient of variation (CV)0.30712858
Kurtosis1.4454793
Mean0.50365096
Median Absolute Deviation (MAD)0.08594072
Skewness0.70713785
Sum26882.874
Variance0.023927636
MonotonicityNot monotonic
2024-10-03T18:04:38.439452image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5366092 1159
 
2.2%
0.55715036 669
 
1.3%
0.46350837 525
 
1.0%
0.47215465 513
 
1.0%
0.8346659 469
 
0.9%
0.2771437 439
 
0.8%
0.53011715 383
 
0.7%
0.65808475 364
 
0.7%
0.5453553 338
 
0.6%
0.8247384 335
 
0.6%
Other values (1638) 48182
90.3%
ValueCountFrequency (%)
0.07721989 301
0.6%
0.16084474 173
0.3%
0.16810617 26
 
< 0.1%
0.1750708 26
 
< 0.1%
0.18302462 26
 
< 0.1%
0.19944142 229
0.4%
0.199803 26
 
< 0.1%
0.2107411 19
 
< 0.1%
0.21143846 260
0.5%
0.22832571 26
 
< 0.1%
ValueCountFrequency (%)
1.1117194 26
< 0.1%
1.108767 26
< 0.1%
1.1052873 26
< 0.1%
1.1046486 26
< 0.1%
1.08021 52
0.1%
1.0653287 26
< 0.1%
1.0611696 26
< 0.1%
1.0595901 26
< 0.1%
1.0427475 26
< 0.1%
1.0395441 26
< 0.1%

Gamma_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct1587
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25990752
Minimum-0.49976116
Maximum0.90980077
Zeros0
Zeros (%)0.0%
Negative6947
Negative (%)13.0%
Memory size417.1 KiB
2024-10-03T18:04:38.520013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.49976116
5-th percentile-0.09960677
Q10.11012673
median0.2572155
Q30.4086938
95-th percentile0.67905754
Maximum0.90980077
Range1.4095619
Interquartile range (IQR)0.29856707

Descriptive statistics

Standard deviation0.24324717
Coefficient of variation (CV)0.93589894
Kurtosis0.50660397
Mean0.25990752
Median Absolute Deviation (MAD)0.14825532
Skewness-0.0039791724
Sum13872.824
Variance0.059169185
MonotonicityNot monotonic
2024-10-03T18:04:38.609492image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34274334 873
 
1.6%
0.5609746 594
 
1.1%
0.49045825 547
 
1.0%
0.90980077 546
 
1.0%
-0.42995718 487
 
0.9%
-0.3060746 473
 
0.9%
0.16908355 416
 
0.8%
0.21427993 409
 
0.8%
0.26188424 390
 
0.7%
0.7321449 390
 
0.7%
Other values (1577) 48251
90.4%
ValueCountFrequency (%)
-0.49976116 19
 
< 0.1%
-0.44911292 283
0.5%
-0.42995718 487
0.9%
-0.3060746 473
0.9%
-0.30067292 26
 
< 0.1%
-0.27740487 26
 
< 0.1%
-0.25247073 26
 
< 0.1%
-0.24930073 9
 
< 0.1%
-0.24001357 26
 
< 0.1%
-0.23835382 26
 
< 0.1%
ValueCountFrequency (%)
0.90980077 546
1.0%
0.84713334 26
 
< 0.1%
0.8407027 26
 
< 0.1%
0.83916986 26
 
< 0.1%
0.83894026 306
0.6%
0.8369948 26
 
< 0.1%
0.8362333 26
 
< 0.1%
0.8344892 26
 
< 0.1%
0.83298373 26
 
< 0.1%
0.82751876 26
 
< 0.1%

Gamma_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct2008
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.35105359
Minimum-0.8101832
Maximum0.92203563
Zeros0
Zeros (%)0.0%
Negative47398
Negative (%)88.8%
Memory size417.1 KiB
2024-10-03T18:04:38.703071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.8101832
5-th percentile-0.6552755
Q1-0.53720206
median-0.43704805
Q3-0.23998773
95-th percentile0.24842478
Maximum0.92203563
Range1.7322188
Interquartile range (IQR)0.29721433

Descriptive statistics

Standard deviation0.27796692
Coefficient of variation (CV)-0.79180766
Kurtosis2.3212509
Mean-0.35105359
Median Absolute Deviation (MAD)0.13504185
Skewness1.4572741
Sum-18737.837
Variance0.077265611
MonotonicityNot monotonic
2024-10-03T18:04:38.796666image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1341615 442
 
0.8%
-0.5148898 286
 
0.5%
-0.506378 234
 
0.4%
-0.74175566 234
 
0.4%
-0.7538802 208
 
0.4%
-0.4981153 182
 
0.3%
0.55392003 156
 
0.3%
0.92203563 130
 
0.2%
0.6419792 78
 
0.1%
-0.5468601 37
 
0.1%
Other values (1998) 51389
96.3%
ValueCountFrequency (%)
-0.8101832 26
< 0.1%
-0.7995811 26
< 0.1%
-0.7971102 26
< 0.1%
-0.791409 26
< 0.1%
-0.79034245 26
< 0.1%
-0.7883784 26
< 0.1%
-0.7769055 26
< 0.1%
-0.77393436 26
< 0.1%
-0.77310616 26
< 0.1%
-0.76686484 26
< 0.1%
ValueCountFrequency (%)
0.92203563 130
0.2%
0.8273117 26
 
< 0.1%
0.75075656 26
 
< 0.1%
0.688438 26
 
< 0.1%
0.6878292 26
 
< 0.1%
0.6870658 26
 
< 0.1%
0.6419792 78
0.1%
0.63013864 26
 
< 0.1%
0.5656611 26
 
< 0.1%
0.5648476 26
 
< 0.1%

Gamma_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct2051
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.38898402
Minimum-0.79768574
Maximum0.32782343
Zeros0
Zeros (%)0.0%
Negative50294
Negative (%)94.2%
Memory size417.1 KiB
2024-10-03T18:04:38.889513image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.79768574
5-th percentile-0.65473443
Q1-0.54171777
median-0.43163237
Q3-0.27692232
95-th percentile0.031772185
Maximum0.32782343
Range1.1255092
Interquartile range (IQR)0.26479545

Descriptive statistics

Standard deviation0.20340621
Coefficient of variation (CV)-0.52291662
Kurtosis0.38399021
Mean-0.38898402
Median Absolute Deviation (MAD)0.12538889
Skewness0.85762414
Sum-20762.411
Variance0.041374084
MonotonicityNot monotonic
2024-10-03T18:04:38.981524image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.358066 208
 
0.4%
0.112667434 187
 
0.4%
-0.20311476 167
 
0.3%
-0.21015115 130
 
0.2%
-0.41698542 26
 
< 0.1%
-0.4525027 26
 
< 0.1%
-0.44162667 26
 
< 0.1%
-0.4320279 26
 
< 0.1%
-0.4245004 26
 
< 0.1%
-0.42783588 26
 
< 0.1%
Other values (2041) 52528
98.4%
ValueCountFrequency (%)
-0.79768574 26
< 0.1%
-0.7960766 26
< 0.1%
-0.76603884 26
< 0.1%
-0.76102746 26
< 0.1%
-0.7576203 26
< 0.1%
-0.7390993 26
< 0.1%
-0.7340777 26
< 0.1%
-0.73105663 26
< 0.1%
-0.72999614 26
< 0.1%
-0.72741586 26
< 0.1%
ValueCountFrequency (%)
0.32782343 26
< 0.1%
0.29646426 26
< 0.1%
0.2748341 26
< 0.1%
0.27114722 26
< 0.1%
0.26362523 26
< 0.1%
0.25225088 26
< 0.1%
0.25096378 26
< 0.1%
0.2449658 26
< 0.1%
0.24436432 26
< 0.1%
0.2440264 26
< 0.1%

Gamma_TP10
Real number (ℝ)

Distinct1648
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.085925529
Minimum-0.323089
Maximum0.7382696
Zeros0
Zeros (%)0.0%
Negative14275
Negative (%)26.7%
Memory size417.1 KiB
2024-10-03T18:04:39.071563image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.323089
5-th percentile-0.10572274
Q1-0.0063504796
median0.06236162
Q30.14735422
95-th percentile0.3597988
Maximum0.7382696
Range1.0613586
Interquartile range (IQR)0.1537047

Descriptive statistics

Standard deviation0.16029954
Coefficient of variation (CV)1.8655636
Kurtosis4.4715281
Mean0.085925529
Median Absolute Deviation (MAD)0.0764258
Skewness1.4468794
Sum4586.361
Variance0.025695942
MonotonicityNot monotonic
2024-10-03T18:04:39.155328image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7382696 1159
 
2.2%
0.3597988 669
 
1.3%
-0.16603442 525
 
1.0%
-0.080100425 513
 
1.0%
0.19411445 469
 
0.9%
0.13879015 439
 
0.8%
-0.028910507 383
 
0.7%
-0.09056023 364
 
0.7%
-0.2695789 338
 
0.6%
0.21776347 335
 
0.6%
Other values (1638) 48182
90.3%
ValueCountFrequency (%)
-0.323089 301
0.6%
-0.31529513 26
 
< 0.1%
-0.27059788 26
 
< 0.1%
-0.2695789 338
0.6%
-0.26002213 26
 
< 0.1%
-0.25901228 26
 
< 0.1%
-0.25518107 26
 
< 0.1%
-0.23634844 26
 
< 0.1%
-0.2359999 26
 
< 0.1%
-0.23513845 26
 
< 0.1%
ValueCountFrequency (%)
0.7382696 1159
2.2%
0.4864593 26
 
< 0.1%
0.4785553 26
 
< 0.1%
0.4773679 26
 
< 0.1%
0.47723046 26
 
< 0.1%
0.47648683 26
 
< 0.1%
0.47448167 26
 
< 0.1%
0.47391802 26
 
< 0.1%
0.4731935 26
 
< 0.1%
0.4727362 26
 
< 0.1%

Interactions

2024-10-03T18:04:33.521988image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.111429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:07.893569image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.481752image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:10.831297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.381135image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.013349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.643965image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.015536image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.394794image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.779636image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.081641image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.502967image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:23.975890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.282249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.678549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.092117image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.361685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.737665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.217799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.586138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.214374image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:07.964530image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.546929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:10.898865image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.461508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.094816image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.711918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.086720image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.457384image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.844497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.150362image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.574017image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:24.040568image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.352796image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.744792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.154225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.427662image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.805502image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.279301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.650978image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.285505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:08.048456image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.617643image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:10.967803image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.546215image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.180013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.783917image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.158890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.525099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.912467image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.225171image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.644166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:24.108166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.443715image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.813071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.220340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.498549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.987771image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.349068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.709369image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.349533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:08.120265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.677693image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:11.031410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.617527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.252449image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.848373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.221163image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.584229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.972310image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.291016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.709221image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:24.167357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.505494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.874356image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.279107image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.559291image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:31.050954image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.407962image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.769834image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.416654image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:08.199082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.743202image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:11.095357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.698786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.325433image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.916762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.296040image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.644616image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:20.035351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.375255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.773807image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:24.234433image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.572373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:27.045912image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.340147image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.622668image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:31.118342image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.468961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.839085image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.498792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:08.287432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.817162image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:11.166679image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.783047image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.405252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.991022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.373425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.713713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:20.104642image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.449872image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.846948image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:24.306237image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.645101image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:27.117023image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.408313image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.692183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:31.191537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.538868image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.901194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:06.570358image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:08.364814image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.878846image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:11.336475image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.863115image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:14.477140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:16.058080image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:17.443119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.775239image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:20.166826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.522145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.912770image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:24.372016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.712940image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:04:29.096901image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.467826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:31.951316image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.269639image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:34.610646image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:07.653106image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.247787image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:10.626089image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.148197image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:13.770473image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.325680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:16.813292image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.194854image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.592762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:20.883062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.296237image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:23.771383image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.089860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.475785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:27.896517image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.159938image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.533576image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.018029image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.333665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:34.678439image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:07.738137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.329327image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:10.700016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.231993image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:13.859211image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.516740image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:16.886100image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.263650image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.657862image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:20.953365image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.367099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:23.841545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.159129image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.544632image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:27.968454image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.240860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.606112image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.086418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.402647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:34.739015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:07.819098image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:09.413027image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:10.769068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:12.304068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:13.939877image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:15.581780image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:16.954192image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:18.331480image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:19.721532image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:21.018028image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:22.437454image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:23.907419image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:25.223235image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:26.613699image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:28.029028image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:29.303628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:30.672804image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:32.152498image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:04:33.462016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-10-03T18:04:39.226564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Alpha_AF7Alpha_AF8Alpha_TP10Alpha_TP9Beta_AF7Beta_AF8Beta_TP10Beta_TP9Delta_AF7Delta_AF8Delta_TP10Delta_TP9Gamma_AF7Gamma_AF8Gamma_TP10Gamma_TP9Theta_AF7Theta_AF8Theta_TP10Theta_TP9
Alpha_AF71.0000.4470.0700.0860.6920.4730.2550.0700.6570.4090.1890.1750.5890.3970.0950.0690.7480.4480.2570.215
Alpha_AF80.4471.0000.2510.1900.4070.5510.2930.0050.4340.5590.2590.2430.3650.4670.0660.0470.4970.6450.3140.225
Alpha_TP100.0700.2511.0000.5960.033-0.0020.5220.1440.0400.0340.4760.218-0.008-0.1520.2150.2250.0250.1170.5490.241
Alpha_TP90.0860.1900.5961.000-0.0440.0750.3020.3830.048-0.0070.2110.4160.017-0.1230.1590.4220.0430.0970.3010.469
Beta_AF70.6920.4070.033-0.0441.0000.4530.1890.0430.6140.3880.1650.1490.6900.4260.1360.0620.6280.4000.2130.063
Beta_AF80.4730.551-0.0020.0750.4531.0000.2340.0080.5380.5700.1890.2070.4420.6860.0790.0090.5190.4990.2320.218
Beta_TP100.2550.2930.5220.3020.1890.2341.0000.1320.2740.2380.4460.2270.1390.0870.3580.1720.3080.3370.4820.291
Beta_TP90.0700.0050.1440.3830.0430.0080.1321.0000.1280.0370.1750.2810.0940.0480.3540.6970.1050.1140.1730.373
Delta_AF70.6570.4340.0400.0480.6140.5380.2740.1281.0000.5930.2780.1840.4910.4460.0960.1140.7850.5070.2930.179
Delta_AF80.4090.5590.034-0.0070.3880.5700.2380.0370.5931.0000.3620.2790.3100.5450.125-0.0150.5480.7820.2500.191
Delta_TP100.1890.2590.4760.2110.1650.1890.4460.1750.2780.3621.0000.4540.1180.1010.3120.2370.2580.2980.6030.386
Delta_TP90.1750.2430.2180.4160.1490.2070.2270.2810.1840.2790.4541.0000.1220.2110.1550.2070.2010.2840.2580.655
Gamma_AF70.5890.365-0.0080.0170.6900.4420.1390.0940.4910.3100.1180.1221.0000.4450.0920.1090.5660.3620.1660.080
Gamma_AF80.3970.467-0.152-0.1230.4260.6860.0870.0480.4460.5450.1010.2110.4451.0000.117-0.0110.4640.5260.1550.145
Gamma_TP100.0950.0660.2150.1590.1360.0790.3580.3540.0960.1250.3120.1550.0920.1171.0000.4080.1130.1700.2870.195
Gamma_TP90.0690.0470.2250.4220.0620.0090.1720.6970.114-0.0150.2370.2070.109-0.0110.4081.0000.1230.0850.2650.297
Theta_AF70.7480.4970.0250.0430.6280.5190.3080.1050.7850.5480.2580.2010.5660.4640.1130.1231.0000.5710.2910.244
Theta_AF80.4480.6450.1170.0970.4000.4990.3370.1140.5070.7820.2980.2840.3620.5260.1700.0850.5711.0000.3830.262
Theta_TP100.2570.3140.5490.3010.2130.2320.4820.1730.2930.2500.6030.2580.1660.1550.2870.2650.2910.3831.0000.371
Theta_TP90.2150.2250.2410.4690.0630.2180.2910.3730.1790.1910.3860.6550.0800.1450.1950.2970.2440.2620.3711.000

Missing values

2024-10-03T18:04:34.834610image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-03T18:04:35.153462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
01.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
11.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
21.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
31.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
41.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
51.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
61.1281920.8686990.1111530.6045650.3846040.617328-0.234356-0.0187130.8087660.0510710.1115760.6036820.4633060.5982470.0756530.5289890.1973340.547088-0.178497-0.006535
71.1071320.0201330.1570020.6623850.375285-0.170299-0.241741-0.0051120.832947-0.1479240.1115760.6089210.468661-0.1841450.0695520.5330680.188605-0.433962-0.196804-0.024044
81.1071320.0201330.1570020.6623850.375285-0.170299-0.241741-0.0051120.832947-0.1479240.1115760.6089210.468661-0.1841450.0695520.5330680.188605-0.433962-0.196804-0.024044
91.1071320.0201330.1570020.6623850.375285-0.170299-0.241741-0.0051120.832947-0.1479240.1115760.6089210.468661-0.1841450.0695520.5330680.188605-0.433962-0.196804-0.024044
Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
533660.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533670.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533680.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533690.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533700.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533710.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533720.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533730.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533740.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785
533750.9863340.5085330.8654650.8501460.5288040.2842640.1379370.8933081.4489450.1863550.1690211.3428720.880507-0.057866-0.0565490.4016080.572026-0.23968-0.3681780.048785

Duplicate rows

Most frequently occurring

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10# duplicates
190.1543960.7622730.4793231.920933-0.007230-0.019860-0.1301911.2856570.712951-0.0369080.3033611.3982430.725642-0.214895-0.1138050.7455410.307081-0.546860-0.2031150.36154937
00.0935120.799530-0.2100260.2808300.722802-0.044162-0.4303310.4024621.363569-0.0587790.2721231.3368010.634860-0.272775-0.1741170.4788390.156289-0.711039-0.6107610.01956626
10.093812-0.0370350.202533-0.0471410.194839-0.441785-0.1163170.3324201.487982-0.009959-0.1582581.1930520.932651-0.275746-0.0554740.5125130.415477-0.484932-0.5780400.07471426
20.0980250.724652-0.2372520.2750800.767597-0.034518-0.4883150.4146891.3922040.0276720.2409281.3292840.667363-0.331470-0.1405740.4727630.160396-0.726822-0.610868-0.00332426
30.0998290.685853-0.2047160.2836800.776950-0.038577-0.4798930.4102041.3834610.0736430.2236301.3323340.684137-0.361180-0.1452730.4695120.159850-0.719636-0.612445-0.00389726
40.105185-0.0115580.189307-0.0592520.175040-0.447858-0.1325890.3074881.476665-0.059963-0.1647031.1847170.910183-0.284223-0.0606840.5156490.387732-0.471590-0.5582170.06950626
50.108006-0.0676410.208861-0.0389940.245932-0.427503-0.1095440.3517511.4938900.018161-0.1284981.1954260.946367-0.273744-0.0520800.5172930.446693-0.483890-0.5959790.08147926
60.1143460.766162-0.2494890.2613560.744708-0.036476-0.4677180.4152021.389701-0.0310130.2688741.3308310.646090-0.300945-0.1498500.4750850.160988-0.723678-0.6110190.00368026
70.1168630.651221-0.1803540.2759050.782468-0.046726-0.4511110.4131261.3841050.0839260.2169671.3307590.697823-0.389698-0.1594950.4614460.163401-0.699214-0.615722-0.00129626
80.1283350.0044030.165811-0.0775930.185476-0.457534-0.1504120.2720441.444402-0.109402-0.1680751.1837040.879253-0.295127-0.0691420.5213040.360868-0.449339-0.5417180.06901626